Luciano Boquete Vázquez

Color Analysis in Retinography: Glaucoma Image Detection

Glaucoma is a leading cause of permanent blindness. Glaucoma has an initial phase difficult to diagnose, so different measures are used to evaluate it. One of them is a retinography exam which is used to determinate the ratio between the cup and the disc areas, and vein shifting in disc perimeter. A system that allows different measures and calculate them automatically, could be useful to medical community. In this paper it shows a study about papilla and cup segmentation, their ratio and vein shifting ratio and their classification using neural networks. Our system is able to classify the glaucoma automatically with a sensitivity and specifity of 96,77% and 68,2% respectively.

Multifocal electroretinography, glaucoma diagnosis by means of the wavelet transform

A summary is given of the multifocal electroretinography technique. Particular stress is laid on the application of the wavelet transform, a technique little explored hitherto, for obtaining markers that might be useful in the early detection of glaucoma. Possible future research lines are also sketched out.

EOG-based wheelchair control

Abstract This chapter presents a literature review of EOG-controlled wheelchairs. The main objective is to develop a control system for guiding the wheelchair using an EOG-based interface. The EOG signal is used to detect eye movements and blinks and these actions are codified as wheelchair control commands. To do this, an electrooculographic eye model has to be designed and implemented. Finally, several techniques and guidance strategies are commented and the main advantages and drawbacks are explained.